chore: import upstream snapshot with attribution

2026-07-13 13:24:13 +08:00
commit 1037506f2e
6050 changed files with 1731598 additions and 0 deletions
@@ -0,0 +1,32 @@
+import torch
+
+
+swiglu_fwd_codestring = """
+template <typename T> T swiglu_fwd(T x, T y) {
+    return float(x) * float(y) / (1.0f + ::exp(-float(x)));
+}
+"""
+swiglu_bwd_codestring = """
+template <typename T> T swiglu_bwd(T x, T y, T g, T& dx, T& dy) {
+    float x_sigmoid = 1.0f / (1.0f + ::exp(-float(x)));
+    dx = x_sigmoid * (1 + float(x) * (1.0f - x_sigmoid)) * float(g) * float(y);
+    dy = float(x) * x_sigmoid * float(g);
+}
+"""
+swiglu_fwd = torch.cuda.jiterator._create_jit_fn(swiglu_fwd_codestring)
+swiglu_bwd = torch.cuda.jiterator._create_multi_output_jit_fn(swiglu_bwd_codestring, num_outputs=2)
+
+
+class SwiGLUFunction(torch.autograd.Function):
+
+    @staticmethod
+    def forward(ctx, x, y):
+        ctx.save_for_backward(x, y)
+        return swiglu_fwd(x, y)
+
+    @staticmethod
+    def backward(ctx, dout):
+        x, y = ctx.saved_tensors
+        return swiglu_bwd(x, y, dout)
+
+swiglu = SwiGLUFunction.apply